Applications of machine learning in urodynamics: A narrative review.

Journal: Neurourology and urodynamics
PMID: 38837301

Abstract

BACKGROUND: Machine learning algorithms as a research tool, including traditional machine learning and deep learning, are increasingly applied to the field of urodynamics. However, no studies have evaluated how to select appropriate algorithm models for different urodynamic research tasks.

Authors

  • Xin Liu
    Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences, Weifang, Shandong, China.
  • Ping Zhong
    College of Science, China Agricultural University, Beijing, 100083, China. Electronic address: zping@cau.edu.cn.
  • Yi Gao
    Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
  • Limin Liao
    Department of Urology, School of Rehabilitation, China Rehabilitation Research Center, Beijing Bo'ai Hospital, Capital Medical University, Beijing, China.

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